• DocumentCode
    2063438
  • Title

    Evaluation of residual service life of high voltage circuit breaker

  • Author

    Huang Kai ; Zhao Shuqiang

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It makes evaluation of residual service life on the high voltage circuit breaker more difficult, because of the uncertainty (fuzziness, randomness) and complexity of high voltage circuit breaker life influencing factors, so this paper presents a service life assessment model based on fuzzy reliability. The fuzziness and randomness of the parameter characteristics about high voltage circuit breaker are analysed, the distribution function and the fuzzy membership function of the parameters are obtained. With the online monitoring datas, using the random theory and the fuzzy theory calculate the fuzzy reliability of high voltage circuit breaker. For maintenance of high voltage circuit breaker causing data mutation, this paper uses a improved gray GIM (1, 1) prediction method based on the step data sequence, it realizes to predict the residual service life of high voltage circuit breaker. Finally, using SF6 high voltage circuit breaker as the example, verifies the rationality of the remaining life assessment model of high voltage circuit breaker.
  • Keywords
    SF6 insulation; circuit breakers; fuzzy set theory; high-voltage engineering; maintenance engineering; random processes; reliability; remaining life assessment; SF6 high voltage circuit breaker; data mutation; distribution function; fuzziness; fuzzy membership function; fuzzy reliability; fuzzy theory; high voltage circuit breaker maintenance; improved gray GIM (1, 1) prediction method; online monitoring datas; parameter characteristics; random theory; randomness; remaining life assessment model; residual service life evaluation; service life assessment model; step data sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508698
  • Filename
    6508698